The Le Chatelier Principle of the Capital Market Equilibrium
Chin W. Yang (),
Ken Hung,
Matthew Brigida () and
John A. Fox
Additional contact information
Chin W. Yang: Clarion University of Pennsylvania
Ken Hung: Division of International Banking and Finance Studies, Texas A&M International University
Matthew Brigida: SUNY Polytechnic Institute
John A. Fox: Clarion University of Pennsylvania
Chapter 49 in Encyclopedia of Finance, 2022, pp 1149-1155 from Springer
Abstract:
Abstract This chapter purports to provide a theoretical underpinning for the problem of the Investment Company Act. The theory of the Le Chatelier principle is well known in thermodynamics: The system tends to adjust itself to a new equilibrium as far as possible. In capital market equilibrium, added constraints on portfolio investment in each stock can lead to inefficiency manifested in the right-shifting efficiency frontier. According to the empirical study, the potential loss can amount to millions of dollars coupled with a higher risk-free rate and greater transaction and information costs.
Keywords: Markowitz model; Efficient frontiers; With constraints; Without constraints; Le Chatelier principle; Thermodynamics; Capital market equilibrium; Diversified mutual funds; Quadratic programming; and Investment Company Act (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-91231-4_49
Ordering information: This item can be ordered from
http://www.springer.com/9783030912314
DOI: 10.1007/978-3-030-91231-4_49
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().